Pinned Repositories
aggregation_webapp
AGGREGATION WEB APP
artkit-sb
Automated prompt-based testing and evaluation of Gen AI applications
Autoencoders
Autoencoding, a dynamic data compression algorithm, sets itself apart by crafting compression and decompression functions that are data-specific, lossy, and learned autonomously from examples rather than human-engineered.
BankOfAmerica_Stock_Analysis_and_Prediction
A quantitative study on BOC stock.
Basics-of-OPENCV
BASICS OF CV2
Bayesian-Linear_Regression
bhardwajshivam
Gradient-Clipping
Gradient Clipping is a technique used to tackle the problem of exploding gradients in neural networks, especially during training
Graph-attention-network-GAT-for-node-classification
Implemented a GNN and GAT model for node prediction on the Cora dataset (consisting of 2,708 scientific papers classified into 7 classes, with a citation network comprising 5,429 links and binary word vectors of size 1,433).
Optimizing-Order-Execution-Strategy-for-HFT
I will be working with a simulated market dataset and focus on optimizing order execution strategies for a high-frequency trading (HFT). The goal is to design algorithms that can execute trades with minimal market impact and achieve the best possible execution prices, considering various factors that affect high-frequency trading performance.
bhardwajshivam's Repositories
bhardwajshivam/Optimizing-Order-Execution-Strategy-for-HFT
I will be working with a simulated market dataset and focus on optimizing order execution strategies for a high-frequency trading (HFT). The goal is to design algorithms that can execute trades with minimal market impact and achieve the best possible execution prices, considering various factors that affect high-frequency trading performance.
bhardwajshivam/Graph-attention-network-GAT-for-node-classification
Implemented a GNN and GAT model for node prediction on the Cora dataset (consisting of 2,708 scientific papers classified into 7 classes, with a citation network comprising 5,429 links and binary word vectors of size 1,433).
bhardwajshivam/artkit-sb
Automated prompt-based testing and evaluation of Gen AI applications
bhardwajshivam/Autoencoders
Autoencoding, a dynamic data compression algorithm, sets itself apart by crafting compression and decompression functions that are data-specific, lossy, and learned autonomously from examples rather than human-engineered.
bhardwajshivam/bhardwajshivam
bhardwajshivam/Bidirectional-RNN-based-poem-generator
The Bidirectional RNN-based Poem Generator is an innovative natural language processing (NLP) project designed to generate expressive and contextually rich poems.
bhardwajshivam/Binomial-Option-Pricing-Model
The Binomial Option Pricing Model is a financial model used for valuing options by simulating possible price movements over time. It calculates the option's expected value at different nodes, considering up and down movements, enabling more accurate pricing decisions in uncertain markets.
bhardwajshivam/calculator_ci
Continuos Intigration
bhardwajshivam/CD_drinksAPI
bhardwajshivam/Deep-Q-learning-for-Finance
bhardwajshivam/end-to-end-data-engineering-project-4413618
This repo is for the Linkedin Learning course: End-to-End Data Engineering Project
bhardwajshivam/Gemini-Based-Chat-Calculator
This guide demonstrates using an external tool alongside the genai.chat method to provide the accurate solution to a word problem.
bhardwajshivam/GeminiPro-RAG_PAL
Working with gemini pro's multimodal functionality. Looking
bhardwajshivam/Gemma-PET
Parameter efficient tuning - LoRA
bhardwajshivam/genomic-data-analysis
In this repository, I focus on analysing large genomic data, its quantization, vizualization and performing predictive analytics.
bhardwajshivam/instructlab
InstructLab Command-Line Interface. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.
bhardwajshivam/marbles
Read better test failures.
bhardwajshivam/Message-passing-neural-network-MPNN-for-molecular-property-prediction
Implemented a type of graph neural network (GNN) known as _ message passing neural network_ (MPNN) to predict graph properties. Specifically, we will implement an MPNN to predict a molecular property known as blood-brain barrier permeability (BBBP).
bhardwajshivam/MSFT_stockpred
Forecast Microsoft stock prices with LSTM: Harnessing deep learning for accurate predictions
bhardwajshivam/Networkx-tutorial
This guide can help you start working with NetworkX. NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
bhardwajshivam/Predicting-sarcasm-LSTM
bhardwajshivam/Python-CRUD-Docker-FlaskAPI
Model packaging: Containerized MLOps (creating docker container - flask API)
bhardwajshivam/quantization-for-llms
In this repository, I study quantization and dequantization of tensors, its benefits and run experiments for various llms.
bhardwajshivam/QueryVision
It's a multimodal question-answer application designed to make information retrieval more efficient and comprehensive. With QueryVision, you can input an image, specify its role, and pose a question.
bhardwajshivam/quill-rag
bhardwajshivam/RAG_FIFA_chatbot
bhardwajshivam/RNN-BeamSearch-Attention
Comparing RNNs, Beam Search and Attention for machine translation
bhardwajshivam/Tranformer-based-trading-bot
Trading bot: 234% return on SPY
bhardwajshivam/Vector-databases
bhardwajshivam/Youtube-notes-generator
The project helps students studying through multiple youtube videos, collect transcripts stored as vectors and generates detailed notes as well as provides QNA support helping student clear doubts while reviewing lecture material.