nachiket273
A software Engineer working in NLP and interested in deep learning and ML
available for collaboration for ML/DL/AI projectsPune
Pinned Repositories
lookahead_pytorch
Pytorch implementation of lookahead optimizer(https://arxiv.org/pdf/1907.08610.pdf) and RAdam(https://arxiv.org/pdf/1908.03265.pdf)
loss-tryout
PyTorch implementation of polyloss and cyclic focal loss and their performance with sample dataset/s.
ML_Algo_Implemented
Bare-bone and simple implementations of few Machine Learning Algorithms
mlcourse
Solutions to mlcourse.ai assignments
One_Cycle_Policy
Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)
pytorch_resnet_rs
Pytorch implementation of "Revisiting ResNets: Improved Training and Scaling Strategies"(https://arxiv.org/pdf/2103.07579.pdf)
Self_Driving_Car
Udacity Self Driving Car ND projects - including lane detection, Traffic sign classifier, behaviour cloning
Tweet_Classification_Huggingface_Wandb
Simple Repository regarding tweet classification using huggingface tokenizer and transformer, and tracking using weights and biases.
Vision_transformer_pytorch
Simple Implementation of Vision Transformer (https://openreview.net/pdf?id=YicbFdNTTy)
VisTrans
Implementations of transformers based models for different vision tasks
nachiket273's Repositories
nachiket273/One_Cycle_Policy
Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)
nachiket273/Self_Driving_Car
Udacity Self Driving Car ND projects - including lane detection, Traffic sign classifier, behaviour cloning
nachiket273/pytorch_resnet_rs
Pytorch implementation of "Revisiting ResNets: Improved Training and Scaling Strategies"(https://arxiv.org/pdf/2103.07579.pdf)
nachiket273/lookahead_pytorch
Pytorch implementation of lookahead optimizer(https://arxiv.org/pdf/1907.08610.pdf) and RAdam(https://arxiv.org/pdf/1908.03265.pdf)
nachiket273/Vision_transformer_pytorch
Simple Implementation of Vision Transformer (https://openreview.net/pdf?id=YicbFdNTTy)
nachiket273/ML_Algo_Implemented
Bare-bone and simple implementations of few Machine Learning Algorithms
nachiket273/Tweet_Classification_Huggingface_Wandb
Simple Repository regarding tweet classification using huggingface tokenizer and transformer, and tracking using weights and biases.
nachiket273/loss-tryout
PyTorch implementation of polyloss and cyclic focal loss and their performance with sample dataset/s.
nachiket273/VisTrans
Implementations of transformers based models for different vision tasks
nachiket273/annotated_research_papers
This repo contains annotated research papers that I found really good and useful
nachiket273/awesome-deep-vision
A curated list of deep learning resources for computer vision
nachiket273/awesome-quantum-computing
A curated list of awesome quantum computing learning and developing resources.
nachiket273/awesome-quantum-ml
Curated list of awesome papers and resources in quantum machine learning
nachiket273/best_AI_papers_2022
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
nachiket273/crias
A Baby Llama model
nachiket273/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
nachiket273/deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
nachiket273/edu
Educational materials on deep learning by Weights & Biases
nachiket273/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
nachiket273/HelioML
A book about machine learning, statistics, and data mining for heliophysics
nachiket273/machine-learning-interview
Machine Learning Interviews from FAAG, Snapchat, LinkedIn.
nachiket273/mediocre_intern
Very mediocre AI Intern
nachiket273/monthly-challenges
Repository containing monthly challenges about quantum computing.
nachiket273/nachiket273
nachiket273/nachiket273.github.io
Blogs about some of the experiments in Deep Learning and Machine Learning.
nachiket273/nn-zero-to-hero
Neural Networks: Zero to Hero
nachiket273/OpenDevin
🐚 OpenDevin: Code Less, Make More
nachiket273/qmlcourse
Quantum Machine Learning Community Course
nachiket273/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
nachiket273/transformers_to_gpt
My Journey from starting from transformers to GPT.