Reverse Dependencies of einops
The following projects have a declared dependency on einops:
- En-transformer — E(n)-Equivariant Transformer
- enformer-pytorch — Enformer - Pytorch
- enhance-long — The tool integrates the lowest cost and highest performance methods to enhance the ability of large languages to process long contexts
- esbn-pytorch — Emergent Symbol Binding Network - Pytorch
- essmc2 — EssentialMC2: A Video Understanding Algorithm Framework.
- ETSformer-pytorch — ETSTransformer - Exponential Smoothing Transformer for Time-Series Forecasting - Pytorch
- eugene-tools — Elucidating the Utility of Genomic Elements with Neural Nets
- eve-pytorch — EVE - Pytorch
- everyvoice — Text-to-Speech Synthesis for the Speech Generation for Indigenous Language Education Small Teams Project
- exdyn — Analyze cell state dynamics dependent on extrinsic factors
- exordium — Collection of utility tools and deep learning methods.
- expert-informed-dl — Deep learning image classificaiton informed by expert attention
- ezDL — A Simple Tool to make Deep Learning projects easier
- eztils — eds utilities
- eztorchtils — eds torch stuff
- f3rm — F3RM: Feature Fields for Robotic Manipulation
- face-rhythm — A pipeline for analysis of facial behavior using optical flow
- fair-esm — Evolutionary Scale Modeling (esm): Pretrained language models for proteins. From Facebook AI Research.
- fake-check — baseline deepcheck module
- fast-perceiver — Fast and memory efficient PyTorch implementation of the Perceiver with FlashAttention.
- fast-transformer — An implementation of Fastformer: Additive Attention Can Be All You Need in TensorFlow
- fast-transformer-pytorch — Fast Transformer - Pytorch
- fast-tts — no summary
- fastckpt — A fast gradient checkpointing strategy for training with memory-efficient attention (e.g., FlashAttention).
- faster-eTaPR — no summary
- fedem — A decentralized framework to train foundational models
- fedml — A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
- feedback-transformer-pytorch — Implementation of Feedback Transformer in Pytorch
- fhailib — FH,FJ Vision AI SYSTEM LIB
- fidder — U-Net for 2D fiducial segmentation in cryo-EM
- fjformer — Embark on a journey of paralleled/unparalleled computational prowess with FJFormer - an arsenal of custom Jax Flax Functions and Utils that elevate your AI endeavors to new heights!
- flagai — FlagAI aims to help researchers and developers to freely train and test large-scale models for NLP/CV/VL tasks.
- flamingo-pytorch — Flamingo - Pytorch
- flash-attention-jax — Flash Attention - in Jax
- flash-attention-softmax-n — CUDA and Triton implementations of Flash Attention with SoftmaxN.
- flash-perceiver — Fast and memory efficient PyTorch implementation of the Perceiver with FlashAttention.
- FLASH-pytorch — FLASH - Transformer Quality in Linear Time - Pytorch
- FlashMHA — FlashMHA - Pytorch
- flax — Flax: A neural network library for JAX designed for flexibility
- flax-extra — The package provides extra flexibility to Flax using ideas originated at Trax
- flaxsr — Super Resolution tools with Jax/Flax
- flexivit-pytorch — FlexiViT: Vision Transformer with Flexible Patch Size
- flood-forecast — An open source framework for deep time series forecasting and classfication built with PyTorch.
- fodnet — FOD-Net Reimplementation.
- foldingdiff-pytorch — Unofficial implementation of foldingdiff in PyTorch.
- fragile — Framework for developing FractalAI based algorithms.
- frequency-ai — Effiently serve LoRA tuned models
- friendli-client — Client of Friendli Suite.
- frvit — frvit - Pytorch
- fschat — An open platform for training, serving, and evaluating large language model based chatbots.
- fttjax — Feature Tokenizer + Transformer - JAX
- funasr — FunASR: A Fundamental End-to-End Speech Recognition Toolkit
- funcodec — FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec
- fusionlab — Useful packages for DL
- fuyu — fuyu - Pytorch
- g-mlp-gpt — gMLP - GPT
- g-mlp-pytorch — gMLP - Pytorch
- gated-state-spaces-pytorch — Gated State Spaces - GSS - Pytorch
- gateloop-transformer — GateLoop Transformer
- gato-torch — Gato: A Generalist Agent
- gats-torch — gats - Pytorch
- geidiprime — Paper - Pytorch
- gem-torch — GEM
- gemini-torch — Gemini - Pytorch
- gen1 — Text to Video synthesis
- genaudit — GenAudit is a tool to fact-check text, especially AI-generated text against reference documents.
- generax — Generative Models using Jax
- GeneSplice — GeneSplice Model, Ultra-Long Rage Genomic Expression Modelling
- geniusrise-audio — audio bolts for geniusrise
- geniusrise-text — Text bolts for geniusrise
- geniusrise-vision — Huggingface bolts for geniusrise
- geodock — no summary
- geometric_kernels — A Python Package offering geometric kernels in NumPy, TensorFlow, PyTorch, and Jax.
- geowatch — no summary
- gigagan — GigaGAN - Scaling up GANs for Text-to-Image Synthesis
- gigagan-pytorch — GigaGAN - Pytorch
- giotto-deep — Toolbox for Deep Learning and Topological Data Analysis.
- givt-pytorch — A partial implementation of Generative Infinite Vocabulary Transformer (GIVT) from Google Deepmind, in PyTorch.
- gldm — no summary
- glom-pytorch — Glom - Pytorch
- glom-tf — Implement GLOM, part-whole hierarchies in TensorFlow
- gpt-sovits-python — Python wrapper for fast inference with GPT-SoVITS
- gpt3-torch — GPT3 - Pytorch
- gpt4-torch — GPT4 - Pytorch
- gradient-ascent — Gradient Ascent - Pytorch
- gradnorm-pytorch — GradNorm - Pytorch
- graph-transformer-pytorch — Graph Transformer - Pytorch
- graph-weather — Weather Forecasting with Graph Neural Networks
- graphein — Protein & Interactomic Graph Construction for Machine Learning
- graphical_models — no summary
- grapycal-torch — A Grapycal extension for PyTorch
- grazier — A tool for calling (and calling out to) large language models.
- grokking — grokking!
- grouped-query-attention-pytorch — grouped-query-attention-pytorch
- gsa-pytorch — Global Self-attention Network (GSA) - Pytorch
- gsxform — Wavelet scattering transforms on graphs via PyTorch
- guardrail-ml — Monitor LLMs with custom metrics to scale with confidence
- h-transformer-1d — H-Transformer 1D - Pytorch
- h2ogpt — no summary
- halonet-pytorch — HaloNet - Pytorch