anktplwl91
PostGrad in Machine Intelligence, love to explore new technologies in AI and ML.
Qualcomm Hyderabad, India
anktplwl91's Stars
EbookFoundation/free-programming-books
:books: Freely available programming books
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
mtdvio/every-programmer-should-know
A collection of (mostly) technical things every software developer should know about
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
keras-team/keras
Deep Learning for humans
luong-komorebi/Awesome-Linux-Software
🐧 A list of awesome Linux softwares
datasciencescoop/Data-Science--Cheat-Sheet
Cheat Sheets
Unity-Technologies/ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
gunthercox/ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
zalandoresearch/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
hackerkid/Mind-Expanding-Books
:books: Find your next book to read!
allenai/allennlp
An open-source NLP research library, built on PyTorch.
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
sjwhitworth/golearn
Machine Learning for Go
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
go-ego/riot
Go Open Source, Distributed, Simple and efficient Search Engine; Warning: This is V1 and beta version, because of big memory consume, and the V2 will be rewrite all code.
tryolabs/luminoth
Deep Learning toolkit for Computer Vision.
google/tangent
Source-to-Source Debuggable Derivatives in Pure Python
gluon-api/gluon-api
A clear, concise, simple yet powerful and efficient API for deep learning.
github/CodeSearchNet
Datasets, tools, and benchmarks for representation learning of code.
hi-primus/optimus
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
google-deepmind/neural-processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
26hzhang/DL-NLP-Readings
My Reading Lists of Deep Learning and Natural Language Processing