skandavivek/fine-tune-transformer-classifier skandavivek/fine-tune-transformer-classifier

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created almost 2 years ago
  • Updated almost 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
skandavivek/fine-tune-transformer-classifier
github

skandavivek

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

transformerQA-finetuning

Fine-tuning HuggingFace Transformer Question-Answering Models On Custom Data
Jupyter Notebook
24
star
2

DSPy-blog

A tutorial on DSPy and whether automated prompt engineering lives up to the hype
Jupyter Notebook
20
star
3

web-qa

Python
11
star
4

ChatGPT-API

A tutorial on the ChatGPI provided by OpenAI
Jupyter Notebook
6
star
5

RAG-From-Scratch

RAG is becoming the standard to customize the output of LLMs for domain specific applications with data. Learn how to build RAG applications from scratch.
Jupyter Notebook
6
star
6

self-RAG

A tutorial on Self-RAG.
Jupyter Notebook
6
star
7

Geospatial-Clustering

Evaluating clustering algorithms KMeans, DBSCAN, Hierarchical Agglomerative performance on geospatial data
Jupyter Notebook
5
star
8

openai-function-calling

A tutorial on the new OpenAI ChatGPT/GPT-4 function calling, which bridges the gap between deterministic and non-deterministic programming - leading to all sorts of possibilities
Jupyter Notebook
5
star
9

sumo-traffic-grids

Simulating traffic on grids using SUMO and Python
Python
4
star
10

PyTorch-Transfer-Learning

Deep Transfer Learning Tutorial in PyTorch on Animals-10 Dataset
Jupyter Notebook
3
star
11

pinecone-openai-tutorial

A tutorial on how to use a vector DB like Pinecone for querying custom docs for retrieval augmented generation
Jupyter Notebook
3
star
12

osmnx-edge-speeds

Obtaining road speeds corresponding to OSMnx urban road networks from the HERE traffic API
Jupyter Notebook
2
star
13

RAG-Doc-Parsers

This repository demonstrates different document parsing strategies for Retrieval-Augmented Generation (RAG) applications, focusing on parsing a table from the Amazon Q1 2024 financial report.
Jupyter Notebook
2
star
14

tracking-cars-highway

Modified Lucas-Kanade algorithm to detect and track cars
Python
1
star
15

Visualizing-YOLO-annotations

Visualizing YOLO annotations on an image (created in https://www.makesense.ai/)
Python
1
star
16

Safegraph-OSMnx-HERE

Code for paper on incorporating state of the art geospatial data sets on complex networks to predict disruptions stemming from cyberattacks on road network infrastructures
Jupyter Notebook
1
star
17

Manhattan-predicting-fragility

Prediction of speeds in Manhattan, and fragility of transportation network to collisions
Jupyter Notebook
1
star
18

upstash-vectordb-tutorial

A tutorial on how to use the Upstash vector DB for querying custom docs for retrieval augmented generation
Jupyter Notebook
1
star