tojaish

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

faiss

A library for efficient similarity search and clustering of dense vectors.

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Rectangle

Move and resize windows on macOS with keyboard shortcuts and snap areas

Algorithms

A collection of algorithms and data structures

gpt-3

GPT-3: Language Models are Few-Shot Learners

ar-cutpaste

Cut and paste your surroundings using AR

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

alt-tab-macos

Windows alt-tab on macOS

awesome-math

A curated list of awesome mathematics resources

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

StarSpace

Learning embeddings for classification, retrieval and ranking.

torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

asl-ml-immersion

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

grad-cam

[ICCV 2017] Torch code for Grad-CAM

tgn

TGN: Temporal Graph Networks

grad-cam-pytorch

PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

gdrl

Grokking Deep Reinforcement Learning

MTTR

papers

Collection of papers

ABAGAIL

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

workshops

This is a repository for all workshop related materials.

cloud-lakehouse-labs

mlrose

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

dynamo-pandas

Make working with pandas data and AWS DynamoDB easy

Google-Colab-Pro-Vs-MacBook-Pro-M1-Max-24-Core

A speed comparison between the GPUs offered by Google Colab vs the MacBook M1 Max 24 Core chip

Performance-Tuning-Deep-Learning-Models-Master-Class

Performance Tuning Deep Learning Models Master Class, published by Packt

ERA