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Rainbow: Combining Improvements in Deep Reinforcement Learning

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

Collection of google colaboratory notebooks for fast and easy experiments

:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

(2020-2022)The PyTorch version of SiamFC，SiamRPN，DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrack , TrTr, NanoTrack; Visual object tracking based on deep learning

Synthetic data generators for tabular and time-series data

Deep Learning for Time Series Classification

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

A PyTorch library and evaluation platform for end-to-end compression research

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

🧠 A study guide to learn about Transformers

[UNMAINTAINED] Automated machine learning for analytics & production

Pre-Trained Chinese XLNet（中文XLNet预训练模型）

Add bisenetv2. My implementation of BiSeNet

The basic distribution probability Tutorial for Deep Learning Researchers

General code to convert a trained keras model into an inference tensorflow model

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆28 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021

Hyperparameter Experiments with TensorFlow and Keras

Laser for control mosquito, weed, and pest

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc.

Unified Training of Universal Time Series Forecasting Transformers

DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.

Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.

A library for differentiable robotics on manifolds.

Deep Learning Papers on Medical Image Analysis

🚀🀄️ A fast and strong AI for riichi mahjong, powered by Rust and deep reinforcement learning.

Deep learning gateway on Raspberry Pi and other edge devices

High Quality Monocular Depth Estimation via Transfer Learning

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

Official Implementation of 'Fast AutoAugment' in PyTorch.

High-quality implementations of standard and SOTA methods on a variety of tasks.

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

AuK: An Open-Source Foundational Model for Speech Generation and Editing

Brevitas: neural network quantization in PyTorch

3,516 curated Figure 1 / teasers from ICLR, ICML, NeurIPS, CVPR, ACL, AAAI (2023-2026), with tier badges and FigureForge retrieval-augmented figure drafting

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

A powerful and flexible machine learning platform for drug discovery

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

High quality, fast, modular reference implementation of SSD in PyTorch

Keras community contributions

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

make ASCII Art by Deep Learning

Automated deep learning algorithms implemented in PyTorch.