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Comprehensive optical design, optimization, and analysis in Python, including GPU-accelerated and differentiable ray tracing via PyTorch.

Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]

Hardware accelerated, batchable and differentiable optimizers in JAX.

Real-time pose estimation accelerated with NVIDIA TensorRT

Deep learning toolkit-enabled VLSI placement

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

An All-MLP solution for Vision, from Google AI

Predict Cryptocurrency Price with Deep Learning

UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

OpenMMLab optical flow toolbox and benchmark

Mastering Atari with Discrete World Models

Next RecSys Library

Layers Outputs and Gradients in Keras. Made easy.

Implementations of CNNs, RNNs, GANs, etc

Closed-form Continuous-time Neural Networks

The Fastest Deep Reinforcement Learning Library

1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)

Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.

Code and other material for the book "Deep Learning and the Game of Go"

PyTorch implementation of UNet++ (Nested U-Net).

TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

A curated list of gradient boosting research papers with implementations.

Perception and AI components for autonomous mobile robotics.

Efficient Deep Learning Systems course materials

Coloring black and white images with deep learning.

Grokking Deep Reinforcement Learning

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2021 Spring

Byted PyTorch Distributed for Hyperscale Training of LLMs and RLs

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

PyTorch Implementation of "Lossless Image Compression through Super-Resolution"

A plug-and-play library for parameter-efficient-tuning (Delta Tuning)

Seminars DeepBayes Summer School 2018

CNNs for Sentence Classification in PyTorch

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run.

Fast & Simple Resource-Constrained Learning of Deep Network Structure

GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis

A library for doing homomorphic encryption operations on tensors

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

:airplane: Multi-functional, compatible DIY general aviation proximity awareness system

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

A benchmark environment for fully cooperative human-AI performance.

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

Real-time pix2pix implementation with Unity

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Machine Learning University: Accelerated Tabular Data Class

Image Test Time Augmentation with PyTorch!

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"