SaikiranKannaiah436's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Hack-with-Github/Awesome-Hacking
A collection of various awesome lists for hackers, pentesters and security researchers
DopplerHQ/awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
bayandin/awesome-awesomeness
A curated list of awesome awesomeness
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
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.
numba/numba
NumPy aware dynamic Python compiler using LLVM
jadore801120/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
prakhar1989/Algorithms
:computer: Data Structures and Algorithms in Python
nutonomy/nuscenes-devkit
The devkit of the nuScenes dataset.
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
llSourcell/Learn_Computer_Vision
This is the curriculum for "Learn Computer Vision" by Siraj Raval on Youtube
ml4a/ml4a.github.io
machine learning for artists
argoverse/argoverse-api
Official GitHub repository for Argoverse dataset
ermongroup/ncsn
Noise Conditional Score Networks (NeurIPS 2019, Oral)
JEddy92/TimeSeries_Seq2Seq
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
wadefagen/coursera
Source Code and Starter Code for Accelerated Computer Science Fundamentals Specialization on Coursera
lyft/nuscenes-devkit
Devkit for the public 2019 Lyft Level 5 AV Dataset (fork of https://github.com/nutonomy/nuscenes-devkit)
sjqtentacles/open-source-machine-learning-degree
Learn machine learning for free, because free is better than not-free.
freelunchtheorem/Conditional_Density_Estimation
Package implementing various parametric and nonparametric methods for conditional density estimation
sisl/aa228-notebook
IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University
sisl/PedestrianAvoidancePOMDP.jl
POMDP formulation of a pedestrian avoidance problem for autonomous driving
ChristosChristofidis/papers-we-love
Papers from the computer science community to read and discuss.
ChristosChristofidis/awesome-python
A curated list of awesome Python frameworks, libraries and software
naba89/RNN-Handwriting-Generation-Pytorch
sequence generation using RNN using pytorch
sisl/aa222-notebook
Stanford's AA222 IJulia Notebooks
prakhar1989/d2l-en
Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.
ChristosChristofidis/awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.