viai957

3d-graphs

Building 3dimentional graps using matplotlib and mp_toolkits sublib to build a Z axes

chatbot_GoogleDuplex

COVID-19

Coronaviruses are a group of related viruses that cause diseases in mammals and birds. In humans, coronaviruses cause respiratory tract infections that can be mild, such as some cases of the common cold, and others that can be lethal, such as SARS, MERS, and COVID-19. Symptoms in other species vary: in chickens, they cause an upper respiratory tract disease, while in cows and pigs they cause diarrhea. There are yet to be vaccines or antiviral drugs to prevent or treat human coronavirus infections.

DDPG-Robotic-Arm

In this project, a double-jointed arm can move to target locations. A reward of +0.1 is provided for each step that the agent's hand is in the goal location. Thus, the goal of your agent is to maintain its position at the target location for as many time steps as possible.

Higgs-Boson

In this project we will be looking at data generated by particle physicists to test whether machine learning can help classify whether certain particle decay experiments identify the presence of a Higgs Boson

LexiGenesis

LexiGenesis: Charting the birth and growth of an LLM. From pretraining to fine-tuning and industry deployment, this repo is the epicenter of AI evolution. 🌟

llama-inference

A simple implementation of Llama 1, 2. Llama Architecture built from scratch using PyTorch all the models are built from scratch that includes GQA (Grouped Query Attention) , RoPE (Rotary Positional Embeddings) , RMS Norm, FeedForward Block, Encoder (as this is only for Inferencing the model) , SwiGLU (Activation Function),

MULTI-AGENT-TENNIS

In this Project, two agents control rackets to bounce a ball over a net. If an agent hits the ball over the net, it receives a reward of +0.1. If an agent lets a ball hit the ground or hits the ball out of bounds, it receives a reward of -0.01. Thus, the goal of each agent is to keep the ball in play.

Optimal-Portfolio-Transactions

We consider the execution of portfolio transactions with the aim of minimizing a combination of risk and transaction costs arising from permanent and temporary market impact. As an example, assume that you have a certain number of stocks that you want to sell within a given time frame. If you place this sell order directly to the market as it is, transaction costs may rise due to temporary market impact. On the other hand, if you split up into pieces in time, cost may rise due to volatility in the stock price

webkit-vulnerability

CVE-2016-4657 web-kit vulnerability for ios 9.3, nintendo switch browser vulnerability

viai957/Higgs-Boson

In this project we will be looking at data generated by particle physicists to test whether machine learning can help classify whether certain particle decay experiments identify the presence of a Higgs Boson

viai957/COVID-19

Coronaviruses are a group of related viruses that cause diseases in mammals and birds. In humans, coronaviruses cause respiratory tract infections that can be mild, such as some cases of the common cold, and others that can be lethal, such as SARS, MERS, and COVID-19. Symptoms in other species vary: in chickens, they cause an upper respiratory tract disease, while in cows and pigs they cause diarrhea. There are yet to be vaccines or antiviral drugs to prevent or treat human coronavirus infections.

viai957/DQN-Unity-agent

In this notebook, you will learn how to use the Unity ML-Agents environment to navigate the agent across the environment increasing its probabilty of hight rewards with constant exploration of new tasks

viai957/Pong-DRL

We will learn to implement and train a policy to play atari-pong, using only the pixels as input. We will use convolutional neural nets, multiprocessing, and pytorch to implement and train our policy. Let's get started!

viai957/DDPG-Robotic-Arm

In this project, a double-jointed arm can move to target locations. A reward of +0.1 is provided for each step that the agent's hand is in the goal location. Thus, the goal of your agent is to maintain its position at the target location for as many time steps as possible.

viai957/MULTI-AGENT-TENNIS

In this Project, two agents control rackets to bounce a ball over a net. If an agent hits the ball over the net, it receives a reward of +0.1. If an agent lets a ball hit the ground or hits the ball out of bounds, it receives a reward of -0.01. Thus, the goal of each agent is to keep the ball in play.

viai957/Cest-X-rays

viai957/Cross-Entropy

viai957/crypto

viai957/Data-frames

viai957/Detecting-Pneumonia

viai957/DRLearning

viai957/EHR_Data_Security_and_Analysis

viai957/image-reconstruction-

It's mobile application developed for image processing and recognition using machine learning for image processing and training the ML model on the cloud and pre processing using Microsoft API

viai957/kmeans-clustering

K Means Clustering - Unsupervised learning

viai957/lab-taxi

viai957/minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

viai957/ONDE

viai957/pandas-tutorials

viai957/pycharm-projects

pycharm projects

viai957/python-data-scrapping

Using Beautiful soup

viai957/python-random-function

viai957/python-sample-scripts

viai957/python-using-numpy

viai957/RSNA-Work

Work In Progress

viai957/RSNA_Pneumonia

viai957/speker-recognition

viai957/stock--predection

viai957/tfrecord

TFRecord reader for PyTorch

viai957/Weight-initialization

Initialization of weights have always been quite a research material, to break it up to you we got all the things covered on how weight initialization works and what changes could be made to yield a better output with plotting test and validation loss