Atul Dhingra's repositories
Sequence-Models
Course 5 from deeplearning.ai
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Eclectic-Nets
Collection of most popular Deep Learning architechtures trained with tensorflow, keras
interview_help
Interview Questions for practice!
Learning-To-Represent-Text
Learning to represent text using Word2Vec
openai-api-short
Short course on Generative AI from DeepLearning AI
generative-ai-with-llm
Various PoC/MvP for different libraries and use-cases supporting Generative AI workflows.
Integer-To-k_ary-Encoder-Decoder
Binary to Decimal Encoder-Decoder using RNN with tensorflow
chess-com-pgn-downloader
chess.com PGN downloader
copilot-test
copilot-test
CS231n-2017-Summary
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Fraud-Prediction
Fraud hosts with substantial amount of fraudulent traffic using the impression logs for selected IP addresses
gan_tutorial
Tensorflow example of a conv GAN on MNIST.
github-actions
Primer to Github Actions
lightweight-human-pose-estimation.pytorch
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
LiveChess2FEN
Predict live chess games into FEN notation.
machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
mojo
The Mojo Programming Language
RL-Specialization
Part of RL Specialization offered by U. Alberta
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
tensorflow
Computation using data flow graphs for scalable machine learning
terraform-getting-started
terraform-getting-started