Pinned Repositories
bigramlm
Creating a small possible bigram language model in torch to understand how the language generation works in bigger LLMS like GPT
smallBert
Creating a small scale BERT model for illustration of every concepts in depth
auto_gen_exps
Instruction to use multi agent framework autogen with LLM
DQN
Forecasting-of-Maruti-Suzuki-Inventory-Stocks
Internship Project
gamedevelopment
Creating different interesting game using python and c++
Riding-request-Prediction-for-Rapido
Each time a customer has requested a ride,his pickup and drop location is recorded with exact date and time.Now based on this we want to predict the number of ride request for future.
SimpleGAN
GAN understanding from scratch in torch
SMALL_GPT
Step by step guide to create GPT from scratch using numpy, torch and jax
word_embeddings
Training a word2vec from scratch in torch
arindamcodes's Repositories
arindamcodes/deep_learning_from_scratch
Implementing different NN structures from scratch in torch to understand everything from ground level
arindamcodes/graph_nn_code
Coding different graph neural nets from scratch using torch
arindamcodes/auto_gen_exps
Instruction to use multi agent framework autogen with LLM
arindamcodes/DQN
arindamcodes/word_embeddings
Training a word2vec from scratch in torch
arindamcodes/SMALL_GPT
Step by step guide to create GPT from scratch using numpy, torch and jax
arindamcodes/SimpleGAN
GAN understanding from scratch in torch
arindamcodes/smallBert
Creating a small scale BERT model for illustration of every concepts in depth
arindamcodes/bigramlm
Creating a small possible bigram language model in torch to understand how the language generation works in bigger LLMS like GPT
arindamcodes/Data_and_Model_Drift
Data and model drift are major challenges in machine learning production systems. Over time, data distributions may shift or become biased, and models may become outdated or perform poorly on new data. Detecting and monitoring drift is critical to maintaining model accuracy and ensuring that ML systems remain effective over time.
arindamcodes/Riding-request-Prediction-for-Rapido
Each time a customer has requested a ride,his pickup and drop location is recorded with exact date and time.Now based on this we want to predict the number of ride request for future.
arindamcodes/Forecasting-of-Maruti-Suzuki-Inventory-Stocks
Internship Project
arindamcodes/gamedevelopment
Creating different interesting game using python and c++