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A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats

A face recognition solution on mobile device.

[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR

A unified framework for easy fine-tuning in Flow-Matching models

Reinforcement Learning for real-time applications

An awesome list of summer schools on Artificial Intelligence, Machine Learning, and Healthcare

Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using Transformers (ONNX, Tensorflow lite, TensorRT, Hailo, OpenVINO, RKNN2...). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).

Visualizing RNNs using the attention mechanism

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

RewardBench: the first evaluation tool for reward models.

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

Joint Detection and Identification Feature Learning for Person Search

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。

Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

New and extensible file format for storage of large columnar datasets.

The Tensor Algebra SuperOptimizer for Deep Learning

Kubernetes-native Deep Learning Framework

A Software Framework for Neuromorphic Computing

Convert ONNX models to PyTorch.

机器阅读理解 冠军/亚军代码及中文预训练MRC模型

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

人机模拟器（Human-vehicle Simulator）

Fizgig — LoRA & Fine-tune Studio for Klein 9B, Krea 2, MiniMax H3, Qwen Image 2.1, Anima & Z-Image Turbo and Ace-Step XL: train, fine-tune, profile, repair and extract LoRAs & LoKR for Image, Video & Music Models

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

Detect and extract tables to markdown and csv

Visualization toolkit for neural networks in PyTorch! Demo -->

Curated list of open source tooling for data-centric AI on unstructured data.

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Quickly bring up your PyTorch project(a skeleton)

RNode is an open, free and flexible digital radio interface with many uses

So-VITS-SVC 本地部署使用帮助文档，提供Colab笔记本 So-VITS-SVC Local Deployment Document and provide Colab notebook

Elegant and Performant Deep Learning

💻 📓 Guia de estudos (iniciante) sobre Inteligência Artificial. Contém trilhas de aprendizagem, canais, cursos , livros etc.

Sequence to Sequence Models with PyTorch

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

Colab Notebooks covering deep learning tools for biomolecular structure prediction and design

Light-Weight RefineNet for Real-Time Semantic Segmentation

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

A curated (most recent) list of resources for Learning with Noisy Labels

Enhance your application with the ability to see and interact with humans using any RGB camera.

Python library to easily log experiments and parallelize hyperparameter search for neural networks

PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.