diveshjain-phy's repositories
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
arxiv-reader
Reads arXiv papers using Text-to-Speech
autoCV
clean CV LaTex template with GitHub Actions that compile and publish new changes
aws-machine-learning-university-accelerated-cv
Machine Learning University: Accelerated Computer Vision Class
cross_ilc_methods_paper
Cross-ILC methods paper
CS-Books-Summarized
My concise notes summarizing key chapters from widely-read Computer Science books
diveshjain-phy
Config files for my GitHub profile.
Finetuning-Large-Language-Models
Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data preparation techniques, and how to effectively train and evaluate LLMs.
gmrtetc
The GMRT Exposure Time Calculator
gpubootcamp
This repository consists for gpu bootcamp material for HPC and AI
h4cker
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking / penetration testing, digital forensics and incident response (DFIR), vulnerability research, exploit development, reverse engineering, and more.
hallucination-free-GPT
code to get hallucination free answers from GPT
Hands-On-Graph-Neural-Networks-Using-Python
Hands-On Graph Neural Networks Using Python, published by Packt
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
LivePortrait
Make one portrait alive!
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
map2map
A neural network emulator to transform field data
ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
ResShift
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS 2023 Spotlight)
TeachingDataScience
Course notes for Data Science related topics, prepared in LaTeX
The-ML-project
Divesh's world of ML
transformers-crash-course
A collection of tutorials and notebooks explaining transformer models in deep learning.