ThinamXx/300Days__MachineLearningDeepLearning
I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.
AI @ Speechify ๐
I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.
Preparation for Machine Learning Interview
Building GPT ...
The repository is dedicated towards the implementation of Computer Vision.
The repository contains a list of projects which I will work on while learning and implementing MLOps.
I will share about Machine Learning and Deep Learning.
The repository will contain a list of projects which we will work on while reading the books of Natural Language Processing & Transformers.
Making of cuda kernel
The fastest repo in history to surpass 50K stars โญ, reaching the milestone in just 2 hours after publication. Better Harness Tools that make real things done. Now writing in Rust using oh-my-codex.
I have built a Model using Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.
I will implement Fastai in each projects present in this repository.
I am sharing my Journey of 66DaysofData in Natural Language Processing.
In this repository, you will gain insights about various Supervised and Unsupervised Machine Learning Algorithms implementation on real data sets along with Visualizations.
Here, In this repository, I have solved one of the problems of Kaggle Competition, " Blue Book for Bulldozers"
Hey there!! In this repository I have included all the Programming exercises of Machine Learning offered by Stanford in Coursera. It was taught by Andrew Ng. It has several interesting Projects like Spam Filtering, Handwritten Digits Recognition and many more. You can access from here!!
Hey there!! With almost 30k commits and a history spanning over ten years, Scala is a mature programming language. It is a general-purpose programming language that has recently become another prominent language for data scientists. I'm going to read in, clean up, and visualize the real world project repository of Scala.
In this repository, you will gain insights about Neural Networks and Deep Learning.
Complete implementation of Llama2 with/without KV cache & inference ๐
A high-throughput and memory-efficient inference and serving engine for LLMs
Reading PaliGemma paper ...
Reading autoencoders
Reading CT-GAN for synthetic data.
Reference implementation of Mistral AI 7B v0.1 model.
I am learning from Hugging Face.
๐ Accelerate inference and training of ๐ค Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
Personal website for Thinam Tamang
Implementation of the Transformer model from the paper Attention Is All You Need in Pytorch.
I have build a LSTM Model using Trax which can identify the Duplicate Questions or Similar Questions which is useful when we have to work with several versions of the same Questions.
LLM101n: Let's build a Storyteller