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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

atom

Atom: Low-bit Quantization for Efficient and Accurate LLM Serving

autogluon

AutoGluon: AutoML Toolkit for Deep Learning

cvpr2020-code

CVPR 2020 论文开源项目合集

deep-motion-editing

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

deeplearningsystem

Deep Learning System core principles introduction.

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gligen-gui

An intuitive GUI for GLIGEN that uses ComfyUI in the backend

gnn_review

GNN综述阅读报告

goodbooks

goodbooksf

google-research

Google Research

instructllama

Implements pre-training, supervised fine-tuning (SFT), and reinforcement learning from human feedback (RLHF), to train and fine-tune the LLaMA2 model to follow human instructions, similar to InstructGPT or ChatGPT, but on a much smaller scale.

learn2branch

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

llmc

This is the official implementation of "LLM-QBench: A Benchmark Towards the Best Practice for Post-training Quantization of Large Language Models", and it is also an efficient LLM compression tool with various advanced compression methods, supporting multiple inference backends.

llmsurvey

A collection of papers and resources related to Large Language Models.

models

Models and examples built with TensorFlow

moneyprinterv2

Automate the process of making money online.

moss

An open-source tool-augmented conversational language model from Fudan University

next-gpt

Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model

nphard

Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search

onnx

Open standard for machine learning interoperability

onnxmodels

A collection of pre-trained, state-of-the-art models in the ONNX format

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

py-itpp

Python wrapper library for signal processing and communications research

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

spinningup

OpenAI团队的深度强化学习教程中文版

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法