suvratjain1995's Stars
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
Netflix/metaflow
:rocket: Build and manage real-life ML, AI, and data science projects with ease!
Sanster/IOPaint
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
pkhungurn/talking-head-anime-demo
Demo for the "Talking Head Anime from a Single Image."
williamleif/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
erikbern/ann-benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
ideonate/jupyter-innotater
Inline data annotator for Jupyter notebooks
BorealisAI/private-data-generation
A toolbox for differentially private data generation
mit-han-lab/temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
shapely/shapely
Manipulation and analysis of geometric objects
jina-ai/clip-as-service
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
microsoft/vscode
Visual Studio Code
pathak22/pyflow
Fast, accurate and easy to run dense optical flow with python wrapper
TianhongDai/reinforcement-learning-algorithms
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
microsoft/SandDance
Visually explore, understand, and present your data.
pytransitions/transitions
A lightweight, object-oriented finite state machine implementation in Python with many extensions
idealo/image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
uber/petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
instillai/deep-learning-roadmap
:satellite: All You Need to Know About Deep Learning - A kick-starter
Vladkryvoruchko/PSPNet-Keras-tensorflow
TensorFlow implementation of original paper : https://github.com/hszhao/PSPNet
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
princeton-vl/CornerNet
michalfaber/keras_Realtime_Multi-Person_Pose_Estimation
Keras version of Realtime Multi-Person Pose Estimation project
cvat-ai/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
keras-team/keras-preprocessing
Utilities for working with image data, text data, and sequence data.
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
sepandhaghighi/pycm
Multi-class confusion matrix library in Python
philferriere/tfoptflow
Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)