Pinned Repositories
10-steps-to-become-a-data-scientist
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
anomaly_detection
This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.
argo-workflows
Workflow engine for Kubernetes
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
CKA-K8S
data-science-complete-tutorial
Notebooks to learn data science - Videos https://www.edyoda.com/course/1416
Deep-Learning-For-Hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis)
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deploy-machine-learning-model
Dockerize and deploy machine learning model as REST API using Flask
Time-series-analysis-using-Python
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.
vikram687's Repositories
vikram687/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
vikram687/Assignments
AWS Assignments
vikram687/AWS
This repository consists of useful links for study materials for those aspiring carrer in AWS
vikram687/deep-learning-keras-tf-tutorial
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
vikram687/Deep-Reinforcement-Learning-with-Python
Deep Reinforcement Learning with Python, Second Edition, published by Packt
vikram687/DeepLearning
vikram687/examples
example code for demoing features
vikram687/flan-t5-text-to-sql
The training code to finetune flan-T5 model with text to SQL task
vikram687/Generative-AI-with-LLMs
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
vikram687/Get-Things-Done-with-Prompt-Engineering-and-LangChain
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
vikram687/html-form-to-google-sheet
How to submit HTML forms to Google Sheets. (Updated for 2023 Script Editor)
vikram687/Indepth-GENAI
vikram687/LangChain-for-LLM-Application-Development
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.
vikram687/langchain-tutorials
Overview and tutorial of the LangChain Library
vikram687/Large-Language-Model-Notebooks-Course
Practical course about Large Language Models.
vikram687/LargeLanguageModelsProjects
Large Language Model Projects
vikram687/Llama-2-GGML-Medical-Chatbot
Llama2-Medical-Chatbot is a medical chatbot that uses the Llama-2-7B-Chat-GGML model and the pdf The Gale Encyclopedia of Medicine, Volume 1, 2nd Edition. It is still under development, but it has the potential to be a valuable tool for patients, healthcare professionals, and researchers.
vikram687/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
vikram687/llms
Large Language Models: In this repository Language models are introduced covering both theoretical and practical aspects.
vikram687/LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
vikram687/Machine-Learning-Web-Apps
Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)
vikram687/MLUsingPythonBook
vikram687/pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
vikram687/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
vikram687/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
vikram687/SQLNet
Neural Network for generating structured queries from natural language.
vikram687/start-llms
A complete guide to start and improve your LLM skills in 2023 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
vikram687/TabLLM
vikram687/tradewithpython-blogs
Repo for storing all blogs written on https://tradewithpython.com/
vikram687/transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.